Missing comparisons and group decisions

Part of the SpringerBriefs in Operations Research book series (BRIEFSOPERAT)


Having, and manipulating, a complete and consistent pairwise comparison matrix means dealing with rich and reliable information and therefore it represents the most desirable situation in a decision making problem with the AHP. However, sometimes, it is not possible for the decision maker to express all the pairwise comparisons and therefore, it is nowadays common practice to accept that some entries of a pairwise comparison matrix be missing. Let us now reprise the famous box and highlight the assumption that we are going to relax.


Missing Comparison Pairwise Comparison Matrix Priority Vector Missing Entries Geometric Mean Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Matteo Brunelli 2015

Authors and Affiliations

  1. 1.Dept. of Mathematics & Systems AnalysisAalto UniversityAaltoFinland

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